Benchmarking outlier detection methods for detecting iem patients in untargeted metabolomics data

HIGHLIGHTS

• who: Michiel Bongaerts and collaborators from the Department of Clinical Genetics, University Medical Center Rotterdam, DrMolewaterplein, GD Rotterdam, The Netherlands have published the Article: Benchmarking Outlier Detection Methods for Detecting IEM Patients in Untargeted Metabolomics Data, in the Journal: Metabolites 2023, 13, 97. of 19/Dec/2022
• what: The authors examined the potential of existing detection methods to detect patient profiles. The authors chose to perform cross-validation using an evaluation set to decide which settings for the (hyper)parameters were optimal, and cross-validation using a test set to evaluate the 5 of 31 . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.